Multicriteria fuzzy decision-making problems based on vague set theory
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
New functions to measure the degree of accuracy in the grades of membership of each alternative with respect to a set of criteria represented by vague values are provided.
Abstract
Chen et al. (Fuzzy Sets and Systems 67 (1994) (163–172)) present some techniques for handling multicriteria fuzzy decision-making problems based on vague set theory. They provide some functions to measure the degree of suitability of each alternative with respect to a set of criteria presented by vague values. However, in some cases, these functions do not give sufficient information about alternatives. In this paper, we provide new functions to measure the degree of accuracy in the grades of membership of each alternative with respect to a set of criteria represented by vague values. The proposed functions give additional information about alternatives. The techniques proposed in this paper can provide more useful way than those of Chen to efficiently help the decision-maker to make his decision.